Patient Recruitment

AI supports clinical trial recruitment teams by classifying, prioritizing, and routing participant inquiries while staff keep control of replies and decisions.

Business impact

• Operational efficiency — The article says AI is used to improve efficiency across recruitment workflows and reduce administrative burden.
• Enrollment performance visibility — AI-powered analytics provide earlier visibility into enrollment performance and site activity.

Data requirements

• Phone calls (speech) — Inbound calls are used for speech-to-text and intent recognition.
• Emails (text) — Written communications are classified, prioritized, and used for draft response suggestions.
• SMS messages (text) — Text messages are part of the incoming participant communication stream.
• Chat inquiries (text) — Chat messages are included in the omnichannel intake workflow.
• Web inquiries (text) — Web inquiries are part of the incoming communication volume handled by recruitment teams.

AI methods and techniques

• Intent recognition — Used to identify why a participant is contacting the team and to support routing and response drafting.
• Speech-to-text — Used in inbound calls to convert speech into text for live agent support.
• Classification — Used to categorize incoming communications by urgency, topic, and participant needs.
• Routing — Used to direct inquiries to the appropriate teams more efficiently.
• Triage — Used to prioritize urgent requests and sort incoming communications.

Industries

Real-world evidence

1 documented case study on record.

Companies using this: Clariness.